Senior Data Engineer

Schibsted News Media AB; Stockholms kommun; Hybrid; SEK 669,600 - 892,800; Full time

Benefits offered by this job

Flexible working hours

Learning budget

Access to premium media products

Job summary

Schibsted News Media AB in Stockholm is looking for a Senior Data Engineer to shape reliable and scalable data products. In this role, you will design and maintain robust data pipelines, develop data models for analytics, and mentor junior engineers. Ideal candidates will have strong SQL skills, experience with dbt and Airflow, and a collaborative mindset. The position offers flexible working hours and hybrid work options in an international environment.

Qualifications

• Solid experience as a Data Engineer or similar role.
• Strong SQL skills and good understanding of data warehousing concepts.
• Experience with data modeling and building data products for analytics or reporting.

Responsibilities

• Design, build, and maintain robust data pipelines.
• Develop scalable and maintainable data models.
• Mentor junior engineers and help make technical decisions.

Skills

SQL skills

Data modeling

Collaboration

Data engineering workflows

Tools

Snowflake

dbt

Airflow

Job description

Join the Data & AI journey at Schibsted Media

Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands.

In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams.

You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases.

About the role

We are looking for someone who can be both hands‑on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow.

You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well‑documented, and designed for real use cases, not just pipelines that move data.

As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling.

What you will do

• Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions
• Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow
• Develop scalable and maintainable data models that support analytics, reporting, and AI use cases
• Help define best practices for data modeling, transformation, testing, documentation, and governance
• Mentor junior engineers and support the team in making good technical decisions
• Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working
• Improve reliability, performance, cost‑efficiency, and scalability of our data solutions
• Contribute to a culture of ownership, learning, and continuous improvement

What we are looking for

Must have

• Solid experience as a Data Engineer or similar role
• Strong SQL skills and good understanding of data warehousing concepts
• Experience with data modeling and building data products for analytics or reporting
• Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar)
• Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments
• Strong communication skills and ability to work with both technical and non‑technical stakeholders. English is our main working language.
• Collaborative mindset and ability to work well across teams

Nice to have

• Experience with Python or scripting for data engineering workflows
• Experience with CI/CD, GitOps, and version control best practices
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with data quality, observability, governance, or access control
• Experience as a senior engineer in a cross‑functional environment

Why join us?

• High ownership and influence in shaping technical direction and ways of working
• Opportunity to shape trusted data products with real impact across Schibsted Media
• Flexible working hours and hybrid work options with strong trust and autonomy
• International environment with offices in Oslo, Stockholm, and Krakow
• Strong learning culture with learning budget and active engineering & AI communities
• Access to Schibsted's media products, including premium news and podcasts

About you

You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value.

You are comfortable working in an environment where not everything is fully defined yet. You help create structure, bring others along, and make the team better through your technical judgment and collaboration.

If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.

Öppen för alla

Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.